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Description
Oracle Data Miner empowers data scientists, "citizen data scientists," along with business and data analysts to interact seamlessly with data within the database through an intuitive graphical interface that utilizes a "drag and drop" workflow editor. As an extension of Oracle SQL Developer, Oracle Data Miner (ODMr) effectively captures and visually documents the analytical processes users follow while delving into data and crafting machine learning techniques. The workflows created with ODMr are instrumental for not only re-executing analytical methods but also for facilitating knowledge sharing among team members. Moreover, ODMr efficiently produces SQL and PL/SQL scripts while providing a workflow API that streamlines the deployment of models across the organization. By minimizing data movement, ensuring scalability for big data, maintaining security, and speeding up the transition from model development to deployment, organizations can effectively harness their data assets. This enhanced approach ultimately leads to more informed decision-making and improved business outcomes.
Description
Machine learning reveals concealed patterns and valuable insights within enterprise data, ultimately adding significant value to businesses. Oracle Machine Learning streamlines the process of creating and deploying machine learning models for data scientists by minimizing data movement, incorporating AutoML technology, and facilitating easier deployment. Productivity for data scientists and developers is enhanced while the learning curve is shortened through the use of user-friendly Apache Zeppelin notebook technology based on open source. These notebooks accommodate SQL, PL/SQL, Python, and markdown interpreters tailored for Oracle Autonomous Database, enabling users to utilize their preferred programming languages when building models. Additionally, a no-code interface that leverages AutoML on Autonomous Database enhances accessibility for both data scientists and non-expert users, allowing them to harness powerful in-database algorithms for tasks like classification and regression. Furthermore, data scientists benefit from seamless model deployment through the integrated Oracle Machine Learning AutoML User Interface, ensuring a smoother transition from model development to application. This comprehensive approach not only boosts efficiency but also democratizes machine learning capabilities across the organization.
API Access
Has API
API Access
Has API
Integrations
Apache Hive
Apache Spark
Impala
Kinetica
MySQL
Oracle Cloud Infrastructure
Oracle Database
PwC Check-In
Integrations
Apache Hive
Apache Spark
Impala
Kinetica
MySQL
Oracle Cloud Infrastructure
Oracle Database
PwC Check-In
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Oracle
Founded
1977
Country
United States
Website
www.oracle.com/database/technologies/datawarehouse-bigdata/dataminer.html
Vendor Details
Company Name
Oracle
Founded
1977
Country
United States
Website
www.oracle.com/data-science/machine-learning/
Product Features
Data Mining
Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining
Product Features
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization